Ahmed H. Elsheikh
Statistics and Probability · 2012–2015
A researcher in the Science corpus: 4 papers; trusts 48 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 35 citations into it
- Computational Mechanics — 20 citations into it
- Ocean Engineering — 16 citations into it; #2,792 of 3,193 by trust here, #3,015 by citations
- Statistical and Nonlinear Physics — 16 citations into it
- Environmental Engineering — 13 citations into it
- Artificial Intelligence — 9 citations into it
- Mechanical Engineering — 9 citations into it; #7,063 of 8,300 by trust here, #8,047 by citations
- Atmospheric Science — 8 citations into it
Whom Ahmed H. Elsheikh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Joel A. Tropp
- Zhangxin Chen
- Dean S. Oliver
- Alireza Doostan
- Dongbin Xiu
- Michael Elad
- Hirotugu Akaike
- John Skilling
- Youssef M. Marzouk
- E.J. Candes
Who trusts Ahmed H. Elsheikh overall
Papers from Ahmed H. Elsheikh's perspective
Ordered by how strongly the researchers Ahmed H. Elsheikh trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
- The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
- High-Order Collocation Methods for Differential Equations with Random Inputs (SIAM Journal on Scientific Computing)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Atomic Decomposition by Basis Pursuit
- ImageNet classification with deep convolutional neural networks
- Greed is good: algorithmic results for sparse approximation (IEEE Transactions on Information Theory)
- An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (SIAM Journal on Numerical Analysis)
- A new look at the statistical model identification
Their papers
- Non-linear Petrov-Galerkin methods for reduced order modelling of the Navier-Stokes equations using a mixed finite element pair (2013) — 92 citations
- Surrogate accelerated sampling of reservoir models with complex structures using sparse polynomial chaos expansion (2015) — 52 citations
- Efficient Bayesian inference of subsurface flow models using nested sampling and sparse polynomial chaos surrogates (2014) — 96 citations
- Bayesian Reservoir History Matching Considering Model and Parameter Uncertainties (2012) — 47 citations